Primary weight estimation for eVTOLs via explicit analysis and surrogate regression

Jordan T. Smart, Juan J. Alonso

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper demonstrates a generalized, semi-analytic method for estimating the weight of electric vertical take-off and landing vehicles (eVTOLs) and various components thereof. It presents the underlying theory of the method, and the details of its inclusion in the open source conceptual aircraft design toolbox, SUAVE. It presents the explicative results of those methods, and extrapolations across a range of possible vehicle parameters. An estimate of the range of confidence for the methods in the design space is derived from a surrogate created using Gaussian processes (GPs) as regressors.

Original languageEnglish (US)
Title of host publicationAIAA Aviation 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Number of pages12
ISBN (Print)9781624105890
StatePublished - 2019
Externally publishedYes
EventAIAA Aviation 2019 Forum - Dallas, United States
Duration: Jun 17 2019Jun 21 2019

Publication series

NameAIAA Aviation 2019 Forum


ConferenceAIAA Aviation 2019 Forum
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Aerospace Engineering


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